344
---
title: "Advanced Dashboarding"
output:
flexdashboard::flex_dashboard:
orientation: row
vertical_layout: fill
social: ["menu"]
source_code: embed
theme:
version: 4
bootswatch: sandstone
---
```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse)
library(palmerpenguins)
library(plotly)
library(DT)
library(fontawesome)
data("penguins")
```
Plots {data-navmenu="Pages"}
=======================================================================
Sidebar {.sidebar}
-----------------------------------------------------------------------
### Penguin Stats
The number of penguins in the data is `r nrow(penguins)`
Row
-----------------------------------------------------------------------
### Number of Penguins
```{r}
valueBox(nrow(penguins), icon = "fa-linux")
```
### Averge Body Mass
```{r}
avg_mass = round(mean(penguins$body_mass_g, na.rm = T), 1)
gauge(avg_mass,
min(0),
max = max(penguins$body_mass_g, na.rm = T),
gaugeSectors(success = c(4000, 6300),
warning = c(2000, 3999),
danger = c(0, 1999)))
```
Column {.tabset}
-----------------------------------------------------------------------
### Scatter Plot of Bill Length vs Bill Depth
```{r}
a = penguins %>% ggplot(aes(x = bill_length_mm, y = bill_depth_mm, color = species)) +
geom_point()
ggplotly(a)
```
### Chart B
```{r}
penguins %>% ggplot(aes(x = body_mass_g, y = sex, fill = sex))+
geom_boxplot()
```
### Chart C
```{r}
penguins %>% ggplot(aes(x = flipper_length_mm, fill = species))+
geom_histogram()+
facet_wrap(~species)
```
Data {data-navmenu="Pages"}
================================================================================
```{r}
penguins %>% datatable(extensions = "Buttons",
options = list(dom = "Blfrtip",
buttons = c("copy", "csv", "excel", "pdf", "print")))
```